Zhipu AI

Amazon Bedrock now offers GLM 5.3, Z.ai's 753B-parameter mixture-of-experts model, through managed APIs with cross-Region inference, prompt caching and service tiers. Access is limited to eligible enterprise customers. Pricing and context window were not disclosed in AWS's announcement.

Anthropic's Frontier Red Team reports that Zhipu AI's GLM-5.3 achieved full control flow hijacks in 4% of binary exploitation trials, versus 6% for Claude Mythos Preview. Predecessor models Claude Opus 4.6 and GLM-5.2 scored zero, marking what Anthropic calls a crossed threshold in offensive cyber capability.

Z.ai has released GLM-5.3-FlashX, a high-speed variant of GLM-5.3-Flash built on a hybrid sparse and linear attention architecture with 320B total parameters (18B active). The model supports a 1M-token context window and claims inference speeds of up to 200 tokens per second.

Z.ai has published GLM Flash Latest on OpenRouter, a routing alias that automatically points to the newest checkpoint in the GLM Flash lineup. It supports a 1.31M token context window and multimodal text, image, and video input at $0.07 per 1M input tokens and $0.25 per 1M output tokens.

Hugging Face's transformers v5.16.1 release adds support for GLM-5.3-Flash, a 320B total-parameter (18B active) multimodal mixture-of-experts model. Zhipu AI claims it outperforms GLM-5.2 while approaching Claude Opus 4.8 on coding and agentic benchmarks at one-tenth the cost.

Three Hugging Face repositories tied to next-generation GLM and Qwen model lines have appeared online: zai-org/GLM-5.3-Flash, Qwen/Qwen3.8-Flash-Next, and a community GGUF quantization from unsloth. None currently ship with a completed model card, published benchmarks, or pricing.

Z.ai has released GLM-5.3-Flash, a native multimodal model built for coding and long-horizon agent tasks, featuring a 1M-token context window and a hybrid sparse-linear attention architecture. The model is available via OpenRouter at a discounted $0.075/$0.25 per 1M tokens through September 2026.

Z.ai's GLM-5.3 ties Kimi K3 for the top spot among open models on the Artificial Analysis Intelligence Index, driven by a major leap in agentic task performance. The company is delaying the open-weight release by about two weeks, citing the model's unusually strong vulnerability-detection capabilities.

Zhipu AI has released GLM-5.3, a coding-focused model built on the same base as GLM-5.2 with additional post-training. The company claims it's the strongest open-weights coding model available, with gains concentrated in agentic and cybersecurity tasks, though independent benchmarks are not yet published.

Zhipu AI released GLM-5.2, a 753 billion parameter model with a 1 million token context window. The model scores 62.1% on SWE-bench Pro and introduces IndexShare architecture that reduces per-token FLOPs by 2.9× at 1M context length. Released under MIT license with no regional restrictions.

Zhipu AI has released GLM-5.2, a 753 billion parameter model featuring a 1 million token context window and MIT open-source license. The model scores 62.1% on SWE-bench Pro and 91.2% on GPQA-Diamond, with flexible reasoning effort levels for coding tasks.